Automated protein distribution detection in high-throughput image-based siRNA library screens

Journal of Signal Processing Systems

Volumn 55, Issue 1-3, 2009, Pages 1-13

  Law, Yan Nei ^a   Ogg, Stephen ^b   Common, John ^b   Tan, David ^b   Lane, E Birgitte ^b   Yip, Andy M ^c   Lee, Hwee Kuan ^a  

^a BIOINFORMATICS INSTITUTE   (Singapore)

^b INSTITUTE OF MEDICAL BIOLOGY   (Singapore)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Fluorescence microscopy; Image analysis; Keratin proteins; Mutant detection; RNA interference

Indexed keywords

AUTOMATED MICROSCOPIES; AUTOMATIC DETECTIONS; BIOCHEMICAL ASSAYS; BIOLOGICAL HYPOTHESIS; CIRCULAR OBJECTS; COMPUTATIONAL FRAMEWORKS; DATA DRIVEN; DRUG SCREENINGS; HIGH THROUGHPUTS; HIGH-THROUGHPUT ASSAYS; HIGH-THROUGHPUT EXPERIMENTS; HIGH-THROUGHPUT SCREENINGS; IMAGE-BASED; IN CELLS; IN-VITRO; INTERMEDIATE FILAMENTS; KERATIN PROTEINS; KERATINOCYTES; MUTANT DETECTION; PHENOTYPIC CHANGES; PROTEIN AGGREGATES; RNA INTERFERENCE; STEPWISE APPROACHES;

AGGREGATES; ASSAYS; BIOFILTRATION; EDGE DETECTION; FLUORESCENCE; FLUORESCENCE MICROSCOPY; GENES; IMAGE ANALYSIS; NUCLEIC ACIDS; PROTEINS; RNA;

THROUGHPUT;

EID: 62349114982     PISSN: 19398018     EISSN: 19398115     Source Type: Journal    
DOI: 10.1007/s11265-008-0205-7     Document Type: Article

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